TheMTank / RL-code-resources
A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
☆65Updated 3 years ago
Alternatives and similar repositories for RL-code-resources:
Users that are interested in RL-code-resources are comparing it to the libraries listed below
- Convert DeepMind Control Suite to OpenAI gym environments.☆85Updated 5 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated 2 years ago
- A curated list of reinforcement learning environments and frameworks.☆50Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A standalone library to randomize various OpenAI Gym Environments☆62Updated 5 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆96Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆72Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- ☆98Updated 2 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- ☆47Updated 3 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 5 years ago
- ☆83Updated 4 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆150Updated 4 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆58Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 3 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆68Updated 5 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆26Updated 3 years ago
- ☆91Updated last year
- ☆194Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 3 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- Benchmarking TD3 and DDPG on PyBullet☆53Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago